Recombinant Acinetobacter sp. Probable Fe (2+)-trafficking protein (ACIAD0282)

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Product Specs

Form
Lyophilized powder
Lead Time
Delivery times vary depending on the purchase method and location. Please contact your local distributor for specific delivery timelines. Note: All proteins are shipped with standard blue ice packs. Dry ice shipping is available upon request with an additional fee. Please contact us in advance.
Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Centrifuge the vial briefly before opening to collect the contents. Reconstitute the protein in sterile, deionized water to a concentration of 0.1-1.0 mg/mL. For long-term storage, we recommend adding 5-50% glycerol (final concentration) and aliquoting at -20°C or -80°C. Our default glycerol concentration is 50%.
Shelf Life
Shelf life depends on storage conditions, buffer composition, temperature, and protein stability. Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized formulations have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon receipt. Aliquot for multiple uses to prevent repeated freeze-thaw cycles.
Tag Info
The tag type is determined during the manufacturing process. If you require a specific tag, please inform us; we will prioritize its development.
Synonyms
ACIAD0282Probable Fe(2+)-trafficking protein
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-90
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Acinetobacter baylyi (strain ATCC 33305 / BD413 / ADP1)
Target Names
ACIAD0282
Target Protein Sequence
MTRLVFCRKY QQEMEGLDFA PFPGAKGQEF FDNVSKQAWQ EWLQHQTTLI NEKRLNVFEP EAKKFLEEQR EKFFNNDASV EKAEGWKPEA
Uniprot No.

Target Background

Function
This protein may mediate iron transfer between iron acquisition mechanisms and iron-dependent processes, such as the synthesis and/or repair of iron-sulfur clusters in biosynthetic enzymes.
Database Links
Protein Families
Fe(2+)-trafficking protein family

Q&A

What expression systems are most effective for producing recombinant Acinetobacter Fe(2+)-trafficking proteins?

For the expression of recombinant Acinetobacter Fe(2+)-trafficking proteins, prokaryotic bacterial systems, particularly Escherichia coli, are typically the most effective due to the protein's bacterial origin and relatively simple structure without complex post-translational modifications .

Recommended expression systems based on research findings:

Expression SystemAdvantagesLimitationsRecommended For
E. coliHigh yield, cost-effective, simple setupLimited post-translational modificationsBasic structural and functional studies
Yeast (S. cerevisiae)Some eukaryotic modifications, higher folding fidelityLower yield than E. coliStudies requiring some post-translational modifications
Insect cellsBetter protein folding, moderate modificationsMore complex, higher costAdvanced structural studies
Mammalian cells (CHO, BHK)Extensive processing capabilitiesHighest cost, complex protocolsStudies requiring mammalian-like modifications

For optimal results with E. coli expression of Fe(2+)-trafficking proteins:

  • Select an appropriate E. coli strain (BL21(DE3) is commonly used for recombinant protein expression)

  • Optimize codon usage for bacterial expression

  • Include appropriate affinity tags for purification (His-tag or GST-tag)

  • Consider fusion with endogenous protein sequences to increase yield

What methods are available for purification of recombinant Acinetobacter Fe(2+)-trafficking proteins?

Purification of recombinant Fe(2+)-trafficking proteins typically employs affinity chromatography techniques. Based on established methodologies for similar proteins, the following approaches are recommended:

Affinity Purification Methods:

  • Polyhistidine–nickel ion affinity chromatography:

    • Incorporate a 6xHis-tag at the N- or C-terminus of the recombinant protein

    • Use Ni-NTA agarose columns for binding

    • Implement imidazole gradient elution (10-250 mM)

    • Expected purity: >90%

  • Glutathione S-transferase (GST)–glutathione affinity:

    • Express protein as a GST fusion

    • Capture on glutathione-agarose

    • Elute with reduced glutathione or cleave with site-specific protease

    • Advantage: May improve solubility of the recombinant protein

Typical purification protocol workflow:

  • Cell lysis (sonication or chemical lysis buffer)

  • Clarification (centrifugation at 15,000 × g, 30 min, 4°C)

  • Affinity chromatography

  • Size exclusion chromatography for further purification

  • Concentration determination (Bradford or BCA assay)

  • Purity assessment via SDS-PAGE (>90% purity is typically achievable)

What experimental designs are optimal for studying Fe(2+)-trafficking protein function in vitro?

When investigating the function of Fe(2+)-trafficking proteins in vitro, several experimental designs can be employed. Based on similar studies with other iron-related proteins in Acinetobacter, the following approaches are recommended:

Experimental Design for Fe(2+)-trafficking Protein Function:

Experimental ApproachMethodologyExpected OutcomesAdvantages
Insertional mutagenesisCreate knockout mutants using allelic replacement Phenotypic changes in iron uptake and utilizationReveals in vivo significance
Complementation studiesReintroduce functional gene to knockout strainRestoration of wild-type phenotypeConfirms gene-function relationship
Iron-binding assaysIsothermal titration calorimetry, fluorescence quenchingBinding constants, stoichiometryQuantitative binding parameters
Fe-S cluster transfer trackingFluorescent labeling strategies Real-time visualization of iron traffickingDirect evidence of protein function

For a full factorial design experiment investigating the effects of iron concentration and oxidative stress on protein function:

Example 2×3 Factorial Design:

  • Factor 1: Iron concentration (levels: deficient, normal, excess)

  • Factor 2: Oxidative stress (levels: present, absent)

  • Dependent variable: Protein activity or binding capacity

  • Controls: Wild-type strain, buffer controls

This design requires 6 experimental conditions with a minimum of 3 replicates per condition .

How can researchers track iron trafficking mediated by the Fe(2+)-trafficking protein in real-time experiments?

Real-time tracking of iron trafficking requires sophisticated methodologies. Based on research with similar iron-trafficking systems, the following approaches can be applied:

Real-time Iron Trafficking Monitoring:

  • Fusion protein- and intein-based fluorescent labeling strategies:

    • Label Fe(2+)-trafficking protein with fluorescent probes

    • Monitor fluorescence changes upon iron binding/release

    • Different fluorophores can distinguish between cluster types and oxidation states

  • Stopped-flow spectrophotometric studies:

    • Monitor rapid kinetics of iron binding and release

    • Assess formation of reaction intermediates

    • Determine rate constants for each step

  • Mass spectrometry:

    • Track changes in protein mass corresponding to iron binding/release

    • Monitor protein modifications during iron trafficking

    • Can detect transient intermediates in the trafficking process

Example data from a fluorescence quenching experiment tracking iron transfer:

Time (min)Fluorescence Intensity (% of initial)Iron Transfer (%)Notes
0100.00.0Baseline
587.312.7Initial binding
1076.123.9
2062.537.5
3055.244.8
6052.147.9Near equilibrium

What is the role of Fe(2+)-trafficking proteins in Acinetobacter baumannii virulence and antibiotic resistance?

Fe(2+)-trafficking proteins likely contribute significantly to A. baumannii pathogenicity based on the critical role of iron in bacterial virulence. Research findings suggest:

  • Iron acquisition and virulence correlation:

    • A. baumannii infections show attributable mortality of 14.8-36.5%

    • Iron acquisition systems are essential for establishing infection

    • Fe(2+)-trafficking proteins may facilitate iron utilization during infection

  • Iron availability and antibiotic susceptibility:

    • Iron-limiting conditions affect expression of multiple genes, including β-lactamase genes

    • Human serum proteins influence iron uptake gene expression and antibiotic susceptibility

    • Fe(2+)-trafficking proteins may modulate bacterial responses to antibiotics

  • Methodological approaches to study this relationship:

    • Gene knockout studies followed by virulence assessment in animal models

    • Growth inhibition assays under iron limitation with/without antibiotics

    • Transcriptome analysis comparing wild-type and mutant strains under infection-like conditions

Iron acquisition proteins represent potential vaccine targets, as demonstrated by studies with outer membrane proteins like Omp22, AbOmpA, and DcaP-like protein .

What techniques can be used to investigate the role of the Fe(2+)-trafficking protein in Fe-S cluster assembly?

The role of Fe(2+)-trafficking proteins in Fe-S cluster assembly can be investigated using several complementary techniques:

Methodological approaches to study Fe-S cluster assembly:

  • Fluorescent labeling to track Fe-S cluster transfer:

    • Label Fe-S cluster receptors with fluorophores

    • Monitor fluorescence quenching upon cluster binding

    • Determine kinetics of cluster transfer

  • In vitro reconstitution assays:

    • Reconstitute Fe-S cluster assembly systems with purified components

    • Include or exclude the Fe(2+)-trafficking protein

    • Monitor cluster formation spectroscopically

  • Protein-protein interaction studies:

    • Use pull-down assays to identify interaction partners

    • Confirm interactions via biolayer interferometry or surface plasmon resonance

    • Map interaction domains through truncation analysis

Sample protocol for Fe-S cluster transfer assay:

  • Express and purify recombinant Fe(2+)-trafficking protein

  • Label potential Fe-S cluster acceptor proteins with rhodamine

  • Prepare [2Fe-2S] cluster-loaded donor proteins

  • Mix components and monitor fluorescence quenching over time

  • Validate results using mass spectrometry to confirm cluster transfer

ComponentExperimental ConditionControl 1 (no DTT)Control 2 (no acceptor)
Donor protein10 μM10 μM10 μM
Acceptor protein10 μM10 μM-
DTT5 mM-5 mM
BufferTo volumeTo volumeTo volume
Fe-S transfer rate0.08 s⁻¹No significant transferNo significant transfer

How should experiments be designed to assess the impact of iron availability on Fe(2+)-trafficking protein expression and function?

When designing experiments to assess the impact of iron availability on Fe(2+)-trafficking protein expression and function, researchers should consider the following methodological approach:

Full Factorial Experimental Design:

  • Independent Variables:

    • Iron concentration (3 levels: iron-depleted, normal, iron-rich)

    • Growth phase (2 levels: exponential, stationary)

    • Stress conditions (2 levels: present, absent)

  • Dependent Variables:

    • Protein expression level (qRT-PCR, Western blot)

    • Iron binding activity

    • Bacterial fitness (growth rate)

  • Controls:

    • Wild-type strain without manipulation

    • Knockout mutant for the Fe(2+)-trafficking protein

    • Complemented mutant strain

This represents a 3×2×2 full factorial design requiring 12 experimental conditions . For each condition, perform at least three biological replicates and three technical replicates.

Data Table Format for Results:

Iron ConcentrationGrowth PhaseStress ConditionRelative Expression (Mean ± SD)Iron Binding Activity (% of WT)Growth Rate (OD600/hr)
Iron-depletedExponentialAbsent
Iron-depletedExponentialPresent
Iron-depletedStationaryAbsent
Iron-depletedStationaryPresent
NormalExponentialAbsent
..................

What are the key considerations for designing a recombinant Fe(2+)-trafficking protein for vaccine development against Acinetobacter baumannii?

Based on recent vaccine development research against A. baumannii, researchers designing recombinant Fe(2+)-trafficking proteins as vaccine candidates should consider:

Key Design Considerations:

  • Antigen Selection and Optimization:

    • Identify conserved epitopes across Acinetobacter strains

    • Consider combining Fe(2+)-trafficking protein with other antigens (similar to AbOmpA + DcaP-like protein approach)

    • Evaluate insertion of protein into immunogenic carriers like flagellin

  • Expression System Selection:

    • E. coli systems typically yield high amounts of protein

    • Ensure proper folding to maintain conformational epitopes

    • Purify to >90% to minimize adverse reactions

  • Immunization Protocol Design:

    • Use appropriate adjuvants (e.g., Alum as used in other A. baumannii vaccines)

    • Implement multiple immunizations (typically three doses)

    • Consider route of administration (subcutaneous, intramuscular, or intranasal)

  • Evaluation Methods:

    • Measure specific antibody production (IgG, IgG1, IgG2a/c)

    • Assess cytokine profiles (IL-4, IL-6, IL-17A)

    • Determine bacterial loads in challenge studies

    • Evaluate survival rates against lethal bacterial challenge

Expected Immunological Outcomes Based on Similar Studies:

Vaccine FormulationAntibody ResponseCytokine ProfileProtection LevelReference
Single proteinModerate IgGMixed Th1/Th2Moderate
Fusion/combination proteinsHigh IgG, balanced IgG1/IgG2aTh2-dominantHigh
Protein in carrierVery high IgG, high IgG1/IgG2aStrong Th2Very high

What methodologies are recommended for studying protein-protein interactions involving the Fe(2+)-trafficking protein?

To investigate protein-protein interactions involving the Fe(2+)-trafficking protein, researchers should employ multiple complementary methodologies:

Recommended Methodological Approaches:

  • In vitro Binding Assays:

    • Pull-down assays using recombinant tagged proteins

    • Surface plasmon resonance (SPR) for binding kinetics

    • Isothermal titration calorimetry (ITC) for thermodynamic parameters

    • Biolayer interferometry for real-time binding analysis

  • Structural Studies:

    • X-ray crystallography of protein complexes

    • NMR spectroscopy for mapping interaction surfaces

    • Hydrogen-deuterium exchange mass spectrometry to identify binding regions

  • In vivo Interaction Studies:

    • Bacterial two-hybrid system

    • Co-immunoprecipitation from bacterial lysates

    • Fluorescence resonance energy transfer (FRET)

    • Proximity ligation assay

Experimental Protocol for Pull-down Assay:

  • Express recombinant Fe(2+)-trafficking protein with His-tag

  • Immobilize on Ni-NTA resin

  • Prepare bacterial lysate containing potential interaction partners

  • Incubate immobilized protein with lysate

  • Wash extensively

  • Elute bound proteins

  • Analyze by SDS-PAGE and identify by mass spectrometry

Data Analysis Example:

Potential Interacting ProteinMolecular Weight (kDa)Pull-down with Fe(2+)-trafficking proteinPull-down with control proteinConfidence Score
Iron-dependent regulator Fur17+++-High
Siderophore-interacting protein BauF45++-Medium
Fe-S cluster assembly protein IscS40+++-High
Ferredoxin12+-Low
Control protein (BSA)66--N/A

What are the current challenges in studying Fe(2+)-trafficking proteins in Acinetobacter species?

Researchers face several methodological challenges when studying Fe(2+)-trafficking proteins in Acinetobacter species:

Current Challenges and Methodological Solutions:

  • Protein Stability and Solubility Issues:

    • Challenge: Small iron-trafficking proteins may be unstable or form inclusion bodies

    • Solution: Optimize expression conditions (temperature, induction time); use solubility-enhancing tags; consider inclusion body recovery and refolding protocols

  • Iron-Binding Specificity Assessment:

    • Challenge: Distinguishing specific from non-specific iron binding

    • Solution: Use multiple negative controls; implement competitive binding assays; validate with multiple techniques

  • Functional Redundancy:

    • Challenge: Multiple proteins may have overlapping iron-trafficking functions

    • Solution: Create multiple gene knockouts; perform epistasis analysis; use systems biology approaches to map functional networks

  • In vivo Relevance:

    • Challenge: Connecting in vitro observations to physiological significance

    • Solution: Develop animal infection models; use tissue culture systems; implement in vivo imaging techniques for iron trafficking

  • Antibiotic Resistance Correlation:

    • Challenge: Establishing causative links between iron trafficking and antibiotic resistance

    • Solution: Design experiments that carefully control for confounding variables; use clinical isolates with varying resistance profiles

What future research directions are most promising for Fe(2+)-trafficking proteins in Acinetobacter?

Based on current knowledge and technological capabilities, several promising research directions emerge:

Future Research Directions:

  • Systems Biology Approach:

    • Integration of proteomics, transcriptomics, and metabolomics data

    • Network analysis to position Fe(2+)-trafficking proteins within iron homeostasis systems

    • Computational modeling of iron flux through bacterial systems

  • Structural Biology and Drug Development:

    • High-resolution structures of Fe(2+)-trafficking proteins

    • Structure-based drug design targeting these proteins

    • Development of iron-trafficking inhibitors as novel antimicrobials

  • Vaccine Development:

    • Assessment of Fe(2+)-trafficking proteins as vaccine antigens

    • Design of multi-epitope vaccines incorporating conserved regions

    • Evaluation in animal models of infection

  • Host-Pathogen Interactions:

    • Investigation of how host iron sequestration affects bacterial Fe(2+)-trafficking

    • Examination of Fe(2+)-trafficking protein expression during infection

    • Evaluation of role in biofilm formation and persistence

  • Diagnostic Applications:

    • Development of detection methods for Fe(2+)-trafficking proteins

    • Assessment as biomarkers for antibiotic resistance

    • Point-of-care diagnostic tools based on protein detection

Methodological Framework for Future Studies:

To address these future directions, researchers should implement:

  • Interdisciplinary collaborations (microbiology, structural biology, immunology)

  • Translational research approaches (bench-to-bedside)

  • Advanced imaging techniques for real-time tracking

  • Machine learning for data integration and prediction

  • CRISPR-Cas9 gene editing for precise genetic manipulation

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